Skip to content
View LTesan's full-sized avatar
:octocat:
:octocat:

Highlights

  • Pro

Block or report LTesan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
LTesan/README.md

Hi, I'm Lucas! 👋

🎓 PhD Student | Computational Mechanics & AI Researcher
Mechanical Engineer with a Master’s in Biomedical Engineering from the University of Zaragoza.
I specialize in computational mechanics, dynamical systems, artificial intelligence, and biomechanics.


🔬 Research Interests

  • ⚙️ Real-time simulation & model order reduction
  • 🧠 Scientific Machine Learning (SciML) & Physics-Informed Neural Networks (PINNs)
  • 🔗 Neural Operators
  • 🌐 Message Passing Neural Networks (MPNNs) & Graph Neural Networks (GNNs)
  • 🎲 Variational Autoencoders (VAEs) & probabilistic representations of physical systems
  • 💡 Hybrid AI for physics-based modeling and digital twins

💻 Proficient with

Python Anaconda PyTorch PyTorch Lightning PyTorch Geometric Weights & Biases


🧭 Current Position

📍 Pre-doctoral Researcher at the AMB Group
Developing AI-driven computational models for real-time digital twins.


📫 Connect with me

Gmail LinkedIn Google Scholar

Pinned Loading

  1. HybridGraphNets HybridGraphNets Public

    This GitHub repository hosts a integration of biomecanical thermodynamics with graph neural networks (GNNs) to power a cutting-edge hepatic digital twin.

    Python 8 1

  2. MPNN-UnderReach MPNN-UnderReach Public

    MPNN-UnderReach explores the under-reaching phenomenon in message-passing neural PDE solvers. We propose physics-guided lower bounds on the number of message passing iterations. These bounds link g…

    Python 2

  3. DeepONets-Lightning DeepONets-Lightning Public

    A clean and adaptable PyTorch Lightning implementation of the Deep Operator Network (DeepONet) for solving one-dimensional Burgers' and reaction-diffusion partial differential equations (PDEs), wit…

    Jupyter Notebook 4

  4. GNN-Workshop GNN-Workshop Public

    For our hands-on Graph Neural Networks (GNNs) Workshops, to explore the fundamentals and applications of GNNs in machine learning.

    Jupyter Notebook 3

  5. AMB-PINNs AMB-PINNs Public

    Forked from mikelunizar/AMB-PINNs

    This repository offers a practical introduction to Physics-Informed Neural Networks (PINNs) using PyTorch Lightning, featuring interactive Colab notebooks with theoretical explanations and implemen…

    Jupyter Notebook

  6. PINN_pl_diff_2D PINN_pl_diff_2D Public

    Physics-Informed Neural Network (PINN) Solver Framework for Inverse Diffusion Problems A modular PyTorch Lightning implementation with Weights & Biases integration. Designed as a public template fo…

    Python 4